Join Anastasia, Isabella, Ethan, Sophia, and Olivia for Day 32 of our Python for AI series! 🚀 Learn how to install Python, set up VS Code, and run your first scripts: “Hello, World!” and a NumPy array demo. Anastasia and Isabella guide you, with Ethan explaining every line of code! Perfect for beginners. 💻 Get ready for Day 33: Python Basics: Variables and Data Types. Subscribe, like, and share your code in the comments! Join our Discord or X community for more tips!
🔗 Links:
Python: python.org
VS Code: code.visualstudio.com
Discord: discord.com/channels/1397945816349675600/1397945819260391521
#PythonForAI #LearnPython #AICoding #PythonTutorial
Hashtags:
#Python #LearnPython #PythonForAI #AICoding #PythonTutorial #CodingForBeginners #PythonSetup #AIProgramming #TechTutorial #Python3 #CodingJourney #VSCode #DataScience
🔗 Links:
Python: python.org
VS Code: code.visualstudio.com
Discord: discord.com/channels/1397945816349675600/1397945819260391521
#PythonForAI #LearnPython #AICoding #PythonTutorial
Hashtags:
#Python #LearnPython #PythonForAI #AICoding #PythonTutorial #CodingForBeginners #PythonSetup #AIProgramming #TechTutorial #Python3 #CodingJourney #VSCode #DataScience
Category
📚
LearningTranscript
00:00Hello Wizards, I'm Anastasia, your lead guide for Day 32 of the Daily AI Wizard Python for AI series.
00:10Today, we're setting up Python, your first step to building incredible AI projects.
00:16Whether you're a beginner or brushing up, we're making this fun, easy and magical.
00:22Code the future, Wizards.
00:25Hey Wizards, I'm Isabella.
00:28Imagine this.
00:30By the end of this video, you'll have Python running, ready to code like a pro.
00:35We're with you every step, so grab your laptop and let's conjure some coding magic.
00:40Ethan here, I'll break down the code we'll run, so you'll not only set up Python but also understand how it works.
00:48Let's make it epic, Wizards.
00:51Sophia here.
00:53I'm pumped to cheer you on and join the demo, let's make it awesome.
00:57Olivia here.
00:59I'll guide setup and demo details to keep things smooth for you, Wizards.
01:04Wizards.
01:10Why Python for AI?
01:12It's the world's top language for artificial intelligence.
01:16Simple to learn.
01:17Insanely powerful.
01:19And used in tools like TensorFlow for neural networks and PyTorch for cutting-edge research.
01:24It's your all-in-one wand for AI and data science.
01:28Python's your AI magic, Wizards.
01:31Exactly.
01:32Today we'll install Python, set up a coding environment, and run a demo to prep you for day 33, Python Basics.
01:41It's your first spell to code like the pros behind ChatGPT.
01:45Let's get it set up.
01:51Today, Wizards, we're getting you coding.
01:54We'll install Python, set up VS Code as your coding playground, and run your first scripts.
02:00It's easier than you think.
02:02You'll be coding in no time.
02:03Ethan, Sophia, and Olivia will dive into the demo code, explaining every line so you feel like a coding wizard by the end.
02:11This sets you up for day 33.
02:14It's going to be magical.
02:17Wizards, we're your dream team.
02:19Anastasia and I lead the way, keeping things clear and exciting.
02:24Ethan's our code wizard, breaking down every detail.
02:27We're here to make this easy.
02:30Sophia brings the energy and joins the demo.
02:32Olivia handles setup and demo explanations, and I'll answer your tough questions to keep you on track.
02:38Your Python crew's got you.
02:41Hi, Wizards.
02:42I'm Olivia.
02:43You'll need a computer, Windows, Mac, or Linux, an internet connection, and about 15 minutes of your time.
02:52Grab your laptop, Wizards.
02:55No coding experience needed.
02:57Just bring a spark of curiosity and a desire to dive into AI programming.
03:02We're keeping this super wizard friendly.
03:05Just bring your excitement.
03:07Python's a programming language that's easy to read, free to use, and perfect for AI.
03:12It's like writing plain English, but with the power to create neural networks, web apps, and more.
03:19Python's your AI superpower.
03:20It's used by giants like Google and OpenAI for projects like ChatGPT.
03:26Python's versatility and simplicity make it the go-to for wizards and pros alike.
03:31And it's so easy to learn.
03:33Wizards.
03:34Let's check if Python's on your system.
03:38Open a terminal.
03:39Command prompt on Windows.
03:42Terminal on Mac or Linux.
03:44And type Python.
03:46Version or Python 3.
03:48Version.
03:50Let's see if Python's ready.
03:52If you see something like Python 3.11.4, you're ready.
03:57If not, don't worry.
03:59We'll guide you through installing it step by step.
04:02Let's get you set.
04:03No Python?
04:04We'll fix that.
04:10Wizards.
04:11Head to Python.org and click Downloads to get Python 3.11.
04:16It's free and works on Windows, Mac, or Linux.
04:20One click to Python power.
04:23This is your starting line.
04:25Downloading Python is like picking up a magic wand for AI coding.
04:29Follow along and we'll have you ready in minutes.
04:33Ready for any system, Wizards.
04:35Run the Python installer, Wizards.
04:38Check Add Python to Path and click Install Now.
04:43This makes Python easy to use from any terminal.
04:48Olivia, why is Path so important?
04:51Great question.
04:54Path lets you run Python from any terminal without typing its full location.
04:59It's like giving Python a shortcut to everywhere.
05:03Windows setups, super simple.
05:06Path makes Python a breeze.
05:08On a Mac, run the installer from Python.org and follow the prompts.
05:15It's quick and straightforward.
05:16Mac setup's quick and easy.
05:19Some Macs have Python 2, but we need Python 3 for modern AI projects.
05:24The installer gives you the latest version, Wizards.
05:27Python 3 for AI magic.
05:30Most Linux systems have Python 3.
05:33Try sudo apt install Python 3 on Ubuntu or use your distro's package manager, Wizards.
05:42What if Python's not there, Olivia?
05:44No problem.
05:46Download from Python.org or use your package manager.
05:51Linux loves Python.
05:54Linux makes Python easy.
05:57Package managers are awesome.
05:59Open a terminal and type Python 3 version.
06:03If you see Python 3 11.4, you're set, Wizards.
06:07Python's ready to roll.
06:08Version number?
06:09You're good.
06:11No version number?
06:12Don't panic.
06:13Double-check the installer steps or ask us in the comments.
06:16We'll help you get back on track.
06:18Stuck?
06:18We've got you, Wizards.
06:19Wizards, you need a code editor.
06:26We recommend VS Code.
06:28Free, lightweight and packed with features that make coding a joy.
06:33VS Code's perfect for Wizards.
06:36You can try PyCharm for advanced features or idle, which comes with Python.
06:41VS Code is our favourite for its simplicity and power.
06:45Pick what feels best.
06:46Download VS Code from code.visualstudio.com and install it, Wizards.
06:54Add the Python extension from the Extensions tab.
06:57It's a game-changer.
06:59VS Code's quick to set up.
07:02VS Code is like a magical studio for your code.
07:05It highlights errors, suggests fixes, and makes coding feel like an adventure.
07:10You're Code's new home, Wizards.
07:11In VS Code, go to the Extensions tab and install the Python extension by Microsoft.
07:19The .py extension tells VS Code and Python it's a Python file.
07:23It's like labelling your spellbook before casting spells.
07:27.pi means Python power.
07:30Wizards, we're about to run two awesome scripts.
07:33A classic, hello world, and a NumPy demo to show Python's AI potential.
07:39This is where the magic starts.
07:42Ethan, Sophia, and Olivia will explain the code step by step, so you'll master every detail.
07:47Ensure Python and VS Code are ready.
07:50Get ready for Python magic.
07:51Our first demo is a coding classic, printing, hello world, to the screen.
08:02It's your way to say, I'm a wizard coder.
08:05This is where coding begins.
08:08Here's the code.
08:10Print, hello, world.
08:12It's simple but shows how Python communicates.
08:15Let's break it down.
08:17Simple but so powerful.
08:18I'm so excited to see this in action.
08:22It's like your first spell with Python.
08:26Let's see it work, wizards.
08:30The print function is Python's way of showing text in the terminal.
08:35In print, hello, world.
08:37It displays, hello, world.
08:40For you, wizards.
08:42So, it's like Python's way of talking to us, right?
08:46Exactly, Sophia.
08:49The text in parentheses is what gets shown.
08:52It's a simple but powerful tool to interact with your code.
08:56Cool.
08:57So, we can print anything we want?
09:00Yup.
09:01Anything in quotes, messages, numbers, anything.
09:05In print, hello, world.
09:08The quotes around, hello, world.
09:10Tell Python it's a string.
09:13Text, not code.
09:15Without quotes, Python would get confused.
09:18Ethan, why single quotes?
09:21Can we use double quotes?
09:23Great question.
09:25Single quotes and double quotes work the same in Python.
09:29So, print, hello, world, or print, hello, world, both work.
09:37That's so flexible.
09:39Why choose one over the other?
09:43It's preference, Sophia.
09:45Single quotes are simpler, but double quotes help if your text has apostrophes.
09:51Python's cool with both, wizards.
09:54Let's run it, wizards.
09:55In VS Code, open the terminal with Kotrol Plus or CMD Plus and type Python 3 Hello P.I.
10:02Hit enter to see hello, world.
10:04Watch your code come alive.
10:06This is your first Python victory.
10:09The terminal shows your message, proving your setup works.
10:13It's like Python waving hello back at you, so thrilling.
10:18Such a magical moment.
10:21Our second demo uses NumPy, a key AI library.
10:24We'll create an array to show Python's power for data science, wizards.
10:29NumPy's huge for AI.
10:32Here's the code.
10:34Import NumPy as NP.
10:36ARR equals NP.
10:38Array.
10:391, 2, 3.
10:41Print.
10:42Arranged by.
10:44It's a simple array, but it's AI ready.
10:46Let's break down this code.
10:49I love how this shows Python's AI potential.
10:53Let's see what each line does.
10:55The line import NumPy as NP loads the NumPy library, a powerhouse for math and data in AI.
11:06It's like adding a turbo engine to Python.
11:09It's like adding a turbo engine to Python.
11:09Why is NP, Ethan?
11:11It's a shortcut.
11:13Instead of typing NumPy every time, we use NP to keep code clean.
11:19It's a trick pros use, wizards.
11:23That's so clever.
11:26So NP is just a nickname for a number PY?
11:31Exactly, Sophia.
11:33It's like calling your friend by a nickname, less typing.
11:37NP makes coding faster.
11:39Love the nickname trick.
11:43The line ARR equals NP.
11:46Array.
11:471, 2, 3.
11:49Creates a NumPy array.
11:51A list optimized for math operations.
11:54It stores numbers for AI calculations.
11:57Why arrays instead of regular Python lists?
12:01Great question.
12:02NumPy arrays are faster for math, like matrix operations in neural networks.
12:07They're the backbone of AI.
12:11So, arrays are like supercharged lists for AI?
12:15Yes, Sophia.
12:17They're built for speed and power, wizards.
12:20Arrays power AI math.
12:22The print, arranged by, line shows our array as, 1, 2, 3.
12:28It's clean compared to a Python list like, 1, 2, 3, with commas.
12:34It looks so sleek.
12:36Why does number PY skip the commas?
12:41NumPy's designed for data science, so it uses a math-friendly format, skipping commas for a vector-like look, perfect for AI.
12:50So, it's a fancy display for AI data?
12:53Exactly, Olivia.
12:55It's all about clarity, wizards.
12:58Let's run it, wizards.
13:00In the terminal type python3demo.py.
13:03You'll see 1, 2, 3, your first AI-ready array.
13:07See your array in action.
13:08This shows Python and NumPy working together.
13:12It's a small step, but huge for your AI journey.
13:16I'm thrilled to see this.
13:18It's like Python saying, let's do AI.
13:20To use NumPy, run pip install numpy in your terminal, wizards.
13:35Pip is Python's package manager for downloading libraries.
13:39Think of pip as your magical librarian.
13:43It fetches tools like NumPy to power your AI projects.
13:47Libraries make AI possible.
13:49Wizards, if your hello.pi script isn't showing any output, don't worry.
13:54We've got you covered.
13:56First, check if Python is added to your system's path.
13:59This lets you run Python from any terminal without a hitch.
14:03Also, make sure you've saved hello.pi in the right folder.
14:07Use VS Code's File Explorer to double-check your directory.
14:11If you're in the wrong folder, Python won't find your script.
14:15Try typing pwd in the terminal to see your current directory
14:19and navigate to the right one with cd.
14:22Let's get that hello world shining.
14:25And if your NumPy demo isn't working, wizards,
14:28you might see a scary, module not found error.
14:31No module named NumPy, message.
14:35That just means NumPy isn't installed yet.
14:38Open your terminal and run pip install NumPy again.
14:41Make sure you're connected to the internet.
14:44If it's still not working,
14:45check your Python version with Python 3 version
14:48to ensure it has 3.11 or later,
14:51as some older versions might cause issues.
14:54Drop your error messages in the comments
14:56and we'll help you troubleshoot like true wizards.
15:00Wizards.
15:01Let's talk about virtual environments.
15:04They're like magical bubbles for your projects.
15:08To create one,
15:09open your terminal and type Python 3.
15:13A-A-Venv-My-N-V.
15:14This sets up a special folder called My-N-V
15:18where you can install libraries like NumPy
15:22without affecting other projects.
15:25To activate it,
15:26use source My-N-V,
15:28bin,
15:30activate on Mac or Linux,
15:33or My-N-Vjuice scripts,
15:35activate on Windows.
15:37You'll see the terminal prompt change,
15:40showing you're in the virtual environment.
15:42It's like casting a spell
15:44to keep your project's libraries organized.
15:48Exactly, Olivia.
15:50Virtual environments are a game-changer
15:52for AI coding wizards.
15:54They keep libraries like NumPy,
15:56Pandas,
15:57or TensorFlow separate for each project,
15:59so you avoid conflicts.
16:01Like NumPy from one project
16:03clashing with another.
16:05Think of it as giving each of your AI spells
16:08its own spellbook,
16:09so they don't mix up.
16:11This is especially crucial
16:13as you dive deeper into AI
16:15in day 33 and beyond.
16:17Set up a virtual environment today,
16:19and your projects will stay clean and magical.
16:23Wizards?
16:24Want to cast some quick Python spells?
16:27Open a terminal and type Python 3
16:29to enter the Python shell.
16:31It's like stepping into a magical coding playground.
16:34Try typing print,
16:36Hi, Wizards,
16:37and hit Enter.
16:38You'll see Hi, Wizards.
16:40Instantly.
16:41No file needed.
16:43You can experiment with math like 2 plus 2
16:45or even try print,
16:47I'm a daily AI wizard.
16:48I love the Python shell,
16:51Wizards.
16:51It's where you can let your creativity run wild.
16:55Unlike writing scripts,
16:56the shell lets you run code line by line,
16:59so you can see results right away.
17:01Try different commands,
17:02like print 503 or even print,
17:05code the future,
17:06and watch Python respond instantly.
17:09It's a fantastic way
17:10to get comfortable with coding
17:12before jumping into bigger AI projects
17:14in day 33.
17:16So open that shell
17:17and start experimenting.
17:19You're a wizard after all.
17:22The shell gives you instant feedback,
17:24making it perfect for testing ideas
17:26and having fun while learning Python.
17:29Wizards.
17:30Let's talk about the magical tools
17:31that power AI.
17:33Libraries like NumPy,
17:34Pandas,
17:35TensorFlow,
17:36and PyTorch
17:36are the backbone
17:37of artificial intelligence.
17:39NumPy handles fast math for arrays,
17:42like the one we use today.
17:44Pandas makes data analysis a breeze,
17:46organizing data like a wizard sorting potions.
17:49TensorFlow and PyTorch
17:51are for building neural networks,
17:52like those in ChatGPT.
17:54These libraries are your spellbook for AI,
17:57and you've already cast
17:58your first spell with NumPy.
18:01So exciting, right, wizards?
18:03You're already using NumPy,
18:05and that's just the start.
18:07In day 33 and beyond,
18:09we'll dive into Pandas for data magic
18:11and explore TensorFlow and PyTorch
18:14for neural networks.
18:16Each library adds new powers
18:17to your Python skills,
18:19letting you build everything
18:20from data visualizations
18:22to AI models.
18:24For now,
18:25celebrate mastering NumPy.
18:27It's your first step
18:28to becoming an AI wizard.
18:30Keep practicing,
18:31and we'll unlock more magic together.
18:33Wizards,
18:34your HelloPy and Demo.py scripts
18:37are your first magical creations,
18:40so let's keep them safe.
18:42In VS Code,
18:43hit ctrl plus s
18:44or cmd plus s
18:46to save your files.
18:48It's like locking your spells
18:49in a magical vault.
18:51Make sure you save them
18:52in a folder you can find,
18:54like a Python projects directory.
18:56You can even back them up
18:57on a USB drive or cloud storage.
19:00Saving regularly
19:01ensures you never lose your code,
19:03and it's ready for you
19:04to build on in future lessons.
19:06Absolutely, Isabella.
19:09Your scripts are something
19:10to be proud of, wizards.
19:12Why not share them with the world?
19:14Upload HelloPy or DemoPy
19:17to GitHub to show off your skills,
19:19or send them to a friend
19:21who's also learning.
19:22You can even post your code
19:24in our Discord or X community
19:26to inspire other wizards.
19:28Saving and sharing your code
19:31is like casting a spell
19:32that grows stronger
19:33when you share it.
19:35Keep those files safe,
19:36and let's keep coding the future.
19:39Wizards, here's a fun challenge
19:41to flex your new Python skills.
19:44Open VS Code
19:45and create a new file
19:46called name.pi.
19:48Inside, write print your name,
19:51replacing your name
19:52with your actual name,
19:54like print Anastasia for me.
19:56Save the file,
19:57then open a terminal
19:58and type python3name.pi
20:01to see your name appear on the screen.
20:04This is your chance
20:05to personalize your code
20:06and feel like a true wizard.
20:08Try it out
20:09and see the magic happen.
20:11I love this challenge, wizards.
20:13Running python3name.pi
20:15will show your name in the terminal,
20:17and it's such a cool moment
20:19to see your own code come to life.
20:21Once you've got it working,
20:23share your output
20:24in the comments below.
20:25Tell us your name
20:26and how it felt to run your script.
20:29You can even tweak it,
20:30like adding a message with print.
20:32Hi, I'm your name.
20:34Let's see those creative spells
20:36in the comments
20:37and keep coding the future.
20:39Wizards.
20:40Wizards,
20:41we're building an amazing community
20:43here at Daily AI Wizard
20:44and we want you to be part of it.
20:47Hit that subscribe button,
20:49give this video a like,
20:50and drop your setup questions
20:51or demo results
20:52in the comments below.
20:54Did you get
20:55Hello World to work?
20:57Any NumPy errors?
20:59We're here to help you
21:00troubleshoot
21:00and celebrate your wins.
21:02Your comments help us
21:03make these lessons
21:04even better,
21:05so share your thoughts
21:06and let's keep the magic flowing.
21:07Absolutely, Wizards.
21:11Join our Discord
21:12or follow us on X
21:13to connect with other coders
21:15just like you.
21:16Our Discord is a magical hub
21:18where you can ask questions,
21:20share your name,
21:21PI scripts,
21:22or get tips for Day 33.
21:25On X,
21:26we post Python tricks
21:27and updates
21:28to keep you inspired.
21:30Being part of the Daily AI Wizard
21:31community means
21:32you're never coding alone.
21:34We're all wizards
21:36casting AI spells together.
21:38Subscribe,
21:39join,
21:40and let's code the future.
21:43Wizards,
21:44you've conquered
21:44setting up Python,
21:46and now
21:46the real magic begins.
21:49In Day 33,
21:50we dive into Python basics,
21:53variables,
21:54and data types.
21:55You'll learn
21:56how to store data,
21:57like numbers,
21:58text,
21:59or lists,
22:00in variables,
22:00which are like
22:01magical containers
22:03for your code.
22:04Think of it
22:04as learning
22:05to organize
22:06your spells
22:06so you can cast
22:08them any time.
22:09This is where
22:10your AI coding journey
22:11starts to take shape,
22:13building on today's setup.
22:15I'm so excited
22:16for Day 33 wizards.
22:19Variables and data types
22:20are where your code
22:21starts to shine,
22:22letting you create
22:23dynamic programs
22:24for AI and beyond.
22:26You'll see how to work
22:27with integers,
22:28strings,
22:29and more,
22:30setting the stage
22:31for powerful projects.
22:32Make sure you're subscribed
22:34so you don't miss it
22:35and keep practicing
22:36your setup skills.
22:38Get ready for more
22:39Python magic,
22:40and let's code
22:40the future,
22:41wizards.
22:43Wow, wizards,
22:44you did it.
22:44You've installed Python,
22:46set up VS Code,
22:47and ran your first scripts.
22:48Hello, world!
22:49And a NumPy array.
22:51That's a massive win.
22:53I'm so proud of you
22:54for casting your first
22:55coding spells.
22:56Day 33 is next,
22:58diving into variables
22:59and data types
23:00to make your code
23:01even more powerful.
23:03Subscribe,
23:04hit the bell,
23:05and share your
23:06Hello, PI output
23:07in the comments.
23:09We're thrilled
23:09to see your magic.
23:11Join our Discord or X,
23:13ask questions,
23:14and let's keep coding
23:15the future.
23:16Wizards.
23:17You're officially
23:19Python wizards now.
23:20Setting up Python
23:21is a huge milestone,
23:23and I'm so excited
23:24you're here with us.
23:25Day 33 will be amazing.
23:28Variables are where
23:29your code starts to sparkle.
23:31You're building
23:31real AI skills,
23:33and we're here
23:33to support you.
23:35Subscribe, like,
23:36and join our Discord or X
23:37to connect with other wizards.
23:40Share your scripts
23:40in the comments,
23:41and keep coding
23:42with confidence.
23:43Code the future.
23:45Wizards.
23:46Amazing job on the code.
23:48You're killing it.
23:50See you in Day 33.
23:52Keep coding, wizards.
23:54I'm so proud of you, wizards.
23:57Keep shining.
24:00You're a Python star.
24:03Set up done.
24:04Now create.
24:06Can't wait for Day 33.
24:08On to the next lesson.
24:10We'll see you in the next lesson.
24:11We'll see you in the next lesson.
24:11We'll see you in the next lesson.
24:11We'll see you in the next lesson.
24:12We'll see you in the next lesson.
24:12We'll see you in the next lesson.
24:13We'll see you in the next lesson.
24:13We'll see you in the next lesson.
24:14We'll see you in the next lesson.
24:14We'll see you in the next lesson.
24:15We'll see you in the next lesson.
24:15We'll see you in the next lesson.
24:16We'll see you in the next lesson.
24:17We'll see you in the next lesson.
24:18We'll see you in the next lesson.
24:19We'll see you in the next lesson.
24:20We'll see you in the next lesson.
24:21We'll see you in the next lesson.
24:22We'll see you in the next lesson.
24:23We'll see you in the next lesson.
Comments